Triple

T19067246
Position Surface form Disambiguated ID Type / Status
Subject Thomas Crossroads E466695 entity
Predicate nearbyCity P350 FINISHED
Object Sharpsburg, Georgia NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sharpsburg, Georgia | Statement: [Thomas Crossroads, nearbyCity, Sharpsburg, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharpsburg, Georgia
Context triple: [Thomas Crossroads, nearbyCity, Sharpsburg, Georgia]
  • A. Sharpsburg, Georgia chosen
    Sharpsburg, Georgia is a small town in western Georgia known for its quiet residential character within the Atlanta metropolitan area.
  • B. Shiloh, Georgia
    Shiloh, Georgia is a small rural city located in west-central Georgia within the Columbus metropolitan area.
  • C. Chickamauga, Georgia
    Chickamauga, Georgia is a small city in Walker County best known for its proximity to the Chickamauga and Chattanooga National Military Park, a major American Civil War battlefield site.
  • D. Fortson, Georgia
    Fortson, Georgia is an unincorporated community in Muscogee County known primarily as a residential suburb of Columbus.
  • E. LaFayette, Georgia
    LaFayette, Georgia is a small city in the northwestern part of the state, serving as a local hub for government, commerce, and community life in the surrounding rural area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19918848190abb6dd060a9dbecb completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.